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The WaveSurfer Automatic Speech Recognition Plugin
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-3323-5311
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.
2014 (English)In: LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2014, 3067-3071 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a plugin that adds automatic speech recognition (ASR) functionality to the WaveSurfer sound manipulation and visualisation program. The plugin allows the user to run continuous speech recognition on spoken utterances, or to align an already available orthographic transcription to the spoken material. The plugin is distributed as free software and is based on free resources, namely the Julius speech recognition engine and a number of freely available ASR resources for different languages. Among these are the acoustic and language models we have created for Swedish using the NST database.

Place, publisher, year, edition, pages
2014. 3067-3071 p.
Keyword [en]
Automatic Speech Recognition, Free Software, WaveSurfer
National Category
General Language Studies and Linguistics
Identifiers
URN: urn:nbn:se:kth:diva-173468ISI: 000355611004112ISBN: 978-2-9517408-8-4 (print)OAI: oai:DiVA.org:kth-173468DiVA: diva2:855091
Conference
9th International Conference on Language Resources and Evaluation (LREC), MAY 26-31, 2014, Reykjavik, ICELAND
Note

QC 20150918

Available from: 2015-09-18 Created: 2015-09-11 Last updated: 2015-09-21Bibliographically approved

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Salvi, Giampiero

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Salvi, GiampieroVanhainen, Niklas
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf